Foundation Models Academic Research (AFMR) - circular background pattern

Accelerating Foundation Models Research

Engaging the broader community in reimagining computing research

visual representation of ERBench constructing questions from a relational database using its schema, records, and integrity constraints and automatically verifying the LLM responses.

NeurIPS
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for LLMs

NeurIPS
Absorb & Escape: Overcoming Single
Model Limitations in Generating Genomic Sequences

AFMR recognized in the Microsoft Annual Report 2024

Illustrated images of Siddharth Suri and David Holtz. “Collaborators: A Microsoft Research Podcast” runs along the bottom.

AFMR Collaborators: Prompt engineering with Siddharth Suri and David Holtz

新闻与深度文章

新闻报道 | Microsoft Unlocked

AI Anthology

2023年6月1日

Recent advances in AI have sparked both wonder and anxiety as we contemplate its transformative potential. AI holds enormous promise to enrich our lives, but this anticipation comes intertwined with apprehensions about the challenges and risks that might emerge. To…

新闻报道 | Microsoft

Governing AI: A Blueprint for the Future

2023年5月25日

“Don’t ask what computers can do, ask what they should do.” That is the title of the chapter on AI and ethics in a book I coauthored in 2019. At the time, we wrote that “this may be one of…